项目名称: 在线社会网络中特定类型用户识别及其行为规律的分析与建模研究
项目编号: No.61202392
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 计算机科学学科
项目作者: 周亚东
作者单位: 西安交通大学
项目金额: 26万元
中文摘要: 针对意见领袖、网络水军等特定类型用户对在线社会网络中的信息产生与传播的显著影响,以及由此带来的对网络舆情分析、监控与引导的挑战,研究其亟需的在线社会网络特定类型用户识别及其行为规律的分析与建模等关键基础理论。项目将针对微博、论坛、博客等在线社会网络中的特定类型用户,充分考虑不同类型用户的行为特性差异,进行以下三方面的研究:分析用户角色、兴趣与中心性等多个维度特征,提出用户类型的划分策略,并提出特定类型用户的识别方法;针对特定类型用户的典型行为特征,通过分析特定类型用户的行为模式及其产生机理,建立网络用户个体行为的趋势预测模型;分析特定类型用户间的交互模式,提出用户间交互强度的评估算法,在用户个体行为模型基础上,建立具有实际物理意义的特定类型用户群体行为模型。项目研究成果将揭示在线社会网络中特定类型用户个体与群体行为的模式与趋势变化规律,为网络舆情分析、监控与引导提供基础理论支持。
中文关键词: 社会网络;用户行为;信息传播;复杂网络;用户识别
英文摘要: Recently, some specific types of users play a significant role in information spreading over online social networks, and this phenomenon takes a great challenge for monitoring and guiding of public opinion of Internet. Thus, it is important to investigate the theory of modeling and analysis of behavior for specific type of users over online social networks. In this project, the source analysis data is from microblogging, online community and blogosphere websites, and the research includes the following three parts. Firstly, multiple dimensional features will be analyzed, including user roles, interests and the centrality of users. Based on this, the splitting strategy and identification method of the user types will be studied. Secondly, based on the analysis of typical behavior characteristics of the specific types of users, the behavior pattern will be studied, and prediction model for the trend of individual user behavior can be established. Finally, through analyzing the interaction pattern and strength between users, the prediction model for the trend of group behavior can be established. This research can describe the mechanism of behavior dynamics for individual users and user groups over online social networks, which can support the analysis, monitoring and guiding of public opinion in Internet effective
英文关键词: social network;user bahavior;information spreading;complex network;user identification